Cats are often unpredictable, difficult to read, and aloof. And, for a lot of cat lovers, it is part of their appeal. Most people struggle to be able to read a cat’s mood, so can we expect artificial intelligence, which is said to simulate human intelligence, to be able to read a cat’s emotions or tell when our favorite moggy is happy? AI might be able to estimate a cat’s happiness by analyzing body language and vocalizations, but it still can’t fully replace the nuanced understanding of a cat’s owner.
The Ultimate Poker Face
The biggest challenge when attempting to discern a cat’s feelings is that they have evolved an incredible poker face. They are not social animals like people and, in the wild, cats do not give away feelings of pain, anxiety, or any other emotion for fear that rivals will challenge them, or predators will attack them.
While most domesticated cats live lives of luxury, free from the threat of wild animals, they retain a lot of their wild instincts. Whether AI can detect micro-expressions or see through a cat’s face remains to be seen.
Body Language
Using cameras and learning from past footage of cat movements, AI might be able to recognize, determine, and even use body movements to determine a cat’s mood. While they might not give much away with facial expressions, movements like raising the tail or swooshing their tail can be a good way to tell a cat’s mood.
A cat rubbing its head on its owner’s leg or hand is also another good indication of mood, but so too are raised hackles on the neck. These are all quite obvious movements that should be easy for AI to detect and use the motions to give a best guess as to a cat’s mood.
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Vocalizations
Some cats make a lot of noise, and some cats are quiet. But, some cats are prone to becoming more vocal when they feel under threat or are feeling anxious. On the other hand, some cats might be less prone to vocalizing in these circumstances. A change in vocalization patterns is an indication your cat is suffering some emotional change.
Contextual Background
Key to all of these possible signs of anxiety, fear, or even happiness, are context and individuality. Cat play closely mimics hunting, which means a playing cat can also have similar body language and facial expressions. Some cats might have a happier facial expression while they’re playing, and if you have more than one cat, they might have a different facial expression when playing with the other cat compared to when playing with toys.
The point of AI is that it learns. Give it enough background information and let it study the cat’s behavior and an advanced AI would likely be able to identify, at least with a reasonable degree of success, whether a cat is happy or not. However, it would be unlikely to be able to determine this from a single meeting or watching one cat for a short time.
Can AI Tell Us Whether AI Can Tell When a Cat Is Happy?
When we asked an AI tool this question, it gave a long-winded response that started out by saying AI could estimate a cat’s emotional state using facial recognition, body language, vocalizations, and behavioral patterns, while pointing to the differences between individual cats and the need for context when measuring these patterns.
It signed off by stating that while AI can provide insight, it should only ever be used to complement a human’s understanding and observation.
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Conclusion
AI aims to mimic or simulate the intelligence of humans, which means it studies and learns. The AI needs background and context, and with this, it would be able to determine a cat’s mood with a reasonable rate of success.
Considering many humans struggle to be able to tell when a cat is happy, an AI, armed with the right information, could achieve a similar result. However, nobody knows their own cat better than that cat’s owner, and it is they who are most likely to be able to determine their feline companion’s mood.
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